Long-term spatiotemporal variation analysis and probability prediction of algal blooms in Lake Chaohu (2009-2018) based on multi-source remote sensing data

Qi Guohua;  ; Ma Xiaoshuang; He Shiyu; Wu Penghai

doi:10.18307/2021.0204

Long-term spatiotemporal variation analysis and probability prediction of algal blooms in Lake Chaohu (2009-2018) based on multi-source remote sensing data

Journal of Lake Sciences ◽

10.18307/2021.0204 ◽

2021 ◽

Vol 33 (2) ◽

pp. 414-427

Author(s):

Qi Guohua ◽

◽

Ma Xiaoshuang ◽

He Shiyu ◽

Wu Penghai

Keyword(s):

Remote Sensing ◽

Algal Blooms ◽

Remote Sensing Data ◽

Spatiotemporal Variation ◽

Variation Analysis ◽

Lake Chaohu ◽

Sensing Data ◽

Probability Prediction

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Coastal Boundary-Layer Characteristic During Night Time Using a Long-Term Acoustic Remote Sensing Data

Studies in Systems, Decision and Control - Environmental Protection and Disaster Risks ◽

10.1007/978-3-030-70190-1_4 ◽

2021 ◽

pp. 43-57

Author(s):

Damyan Barantiev ◽

Ekaterina Batchvarova

Keyword(s):

Remote Sensing ◽

Boundary Layer ◽

Remote Sensing Data ◽

Night Time ◽

Sensing Data ◽

Coastal Boundary Layer ◽

Layer Characteristic ◽

Acoustic Remote Sensing ◽

Coastal Boundary

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Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain

Environmental Pollution ◽

10.1016/j.envpol.2019.113323 ◽

2019 ◽

Vol 255 ◽

pp. 113323 ◽

Cited By ~ 7

Author(s):

Yidan Si ◽

Hongmei Wang ◽

Kun Cai ◽

Liangfu Chen ◽

Zhicheng Zhou ◽

...

Keyword(s):

Remote Sensing ◽

North China Plain ◽

North China ◽

Remote Sensing Data ◽

Atmospheric Pollutants ◽

Sensing Data ◽

The North ◽

The North China Plain

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The analysis of long-term time and spatial variations of vegetative productivity using of remote sensing data

2007 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2007.4422923 ◽

2007 ◽

Author(s):

L. Spivak ◽

I. Vitkovskaya ◽

M. Batyrbaeva

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Spatial Variations ◽

Sensing Data

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A Framework for the Long-term Monitoring of Urban Green Volume Based on Multi-temporal and Multi-sensoral Remote Sensing Data

Journal of Geovisualization and Spatial Analysis ◽

10.1007/s41651-019-0030-5 ◽

2019 ◽

Vol 3 (1) ◽

Cited By ~ 15

Author(s):

Annett Frick ◽

Steffen Tervooren

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Urban Green ◽

Sensing Data ◽

Multi Temporal ◽

Long Term Monitoring ◽

Urban Green Volume ◽

Term Monitoring

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Chlorophyll-a concentration long-term and seasonal dynamics in the Sea of Azov based on remote sensing data

Studies of the Southern Scientific Centre of Russian Academy of Sciences ◽

10.23885/1993-6621-2020-8-149-164 ◽

2020 ◽

Vol 8 ◽

pp. 149-164

Author(s):

V.V. Saprygin ◽

◽

S.V. Berdnikov ◽

V.V. Kulygin ◽

L.V. Dashkevich ◽

...

Keyword(s):

Remote Sensing ◽

Seasonal Dynamics ◽

Remote Sensing Data ◽

Sea Of Azov ◽

The Sea Of Azov ◽

Sensing Data

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Long-term observations of chlorophyll-a concentration in Honghu Lake using multi-source remote sensing data

10.1117/12.2597710 ◽

2021 ◽

Author(s):

Zhe Chen ◽

Yu Xia ◽

Ying Jiang ◽

Jing Zhao ◽

Yibang Wu ◽

...

Keyword(s):

Remote Sensing ◽

Chlorophyll A ◽

Remote Sensing Data ◽

Chlorophyll A Concentration ◽

Sensing Data ◽

Honghu Lake

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Modeling Long-term Forest Carbon Spatiotemporal Dynamics With Historical Climate and Recent Remote Sensing Data

Science Foundation in China ◽

10.1088/1005-0841/18/1/004 ◽

2010 ◽

Vol 18 (1) ◽

pp. 38-79

Author(s):

Chen Jing

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Spatiotemporal Dynamics ◽

Forest Carbon ◽

Sensing Data ◽

Historical Climate

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Short- and long-term response of phytoplankton to ENSO in Prydz Bay, Antarctica: Evidences from field measurements, remote sensing data and stratigraphic biomarker records

Journal of Ocean University of China ◽

10.1007/s11802-014-2231-3 ◽

2014 ◽

Vol 13 (3) ◽

pp. 437-444 ◽

Cited By ~ 2

Author(s):

Jun Zhao ◽

Hans-Ulrich Peter ◽

Haisheng Zhang ◽

Zhengbing Han ◽

Chuanyu Hu ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Field Measurements ◽

Prydz Bay ◽

Sensing Data ◽

Short And Long Term ◽

Term Response

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LONG-TERM MONITORING OF THE ARAL SEA BY REMOTE SENSING DATA

14th SGEM GeoConference on WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS ◽

10.5593/sgem2014/b32/s15.083 ◽

2014 ◽

Author(s):

Lyudmila Shagarova

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Aral Sea ◽

Sensing Data ◽

Long Term Monitoring ◽

Term Monitoring

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Studying Long-Term Variations in Black-Sea Ecosystem Based on the Assimilation of Remote Sensing Data in a Numerical Model

Water Resources ◽

10.1134/s0097807819010032 ◽

2019 ◽

Vol 46 (1) ◽

pp. 65-75

Author(s):

V. L. Dorofeev ◽

L. I. Sukhikh

Keyword(s):

Remote Sensing ◽

Numerical Model ◽

Black Sea ◽

Remote Sensing Data ◽

Sensing Data ◽

Long Term Variations

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